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Are We Clear?
- Paulo André
#Leadership #Management
tl;dr: As a company grows and "we don't give up control at the top," we sacrifice two things: (1) quality, as decisions are made further away from the truth. (2) Speed, as decisions are blocked by what's happening elsewhere. Creating clarity is essential to scaling an org.
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#Productivity
tl;dr: With overwhelming amounts of languages, frameworks and tools to learn, decisions about where to invest your time to learn can be challenging. Sally has outlined key questions and a framework to help guide this decision.
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#Leadership #Management
tl;dr: A Q&A with Tanya, Principal Engineer at Squarespace outlining her role, types of challenges she enjoys, favorite qualities in an engineer, and more.
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#IndustryTrend
tl;dr: Ramkumar visualizes the evolution of programming languages and categorizes each into one of the following - a root language, one unlikely to to influence the future, a dying language, a "toy", a candidate for the future, or a mature one.
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#Productivity #CareerAdvice
tl;dr: There are several reasons this could be true but, to finish a project, you need to be a "mad hatter." You need a broad skillset i.e. systems architect, db admin, backend developer, essentially all the roles in a team.
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"Don't comment bad code - rewrite it."
- Brian Kernighan
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#UUID
tl;dr: A look at the background and implementation of various versions of UUIDs, understanding "why UUIDs are practically unique, though an incredibly small potential for duplication exists."
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#TensorFlow
tl;dr: Emily uses TensorFlow.js, deep learning, and image processing techniques to animate the Mona Lisa.
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#Python
tl;dr: Proper time zone support, updating dictionaries effectively, using decorators based on expressions, combining type hints and other annotations.
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#Chrome
tl;dr: "Here are a few hidden or lesser known features of Chrome DevTools which you should know about."
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#GitHub
tl;dr: "A developer-first, GitHub-native approach to easily find security vulnerabilities before they reach production."
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